Massive multiple-input multiple-output (MIMO) is a key technology in 5G. It enables multiple
users to be served in the same time-frequency block through precoding or beamforming …

This work advocates the use of deep learning to perform max-min and max-prod power
allocation in the downlink of Massive MIMO networks. More precisely, a deep neural network …

Recently, model-free power control approaches have been developed to achieve the near-
optimal performance of cell-free (CF) massive multiple-input multiple-output (MIMO) with …

Power allocation plays a central role in cell-free (CF) massive multiple-input multiple-output
(MIMO) systems. Many effective methods, eg, the weighted minimum mean square error …

This paper considers a cell-free massive multiple-input multiple-output (MIMO) system that
consists of a large number of geographically distributed access points (APs) serving multiple …

A deep learning (DL)-based power control algorithm that solves the max-min user fairness
problem in a cell-free massive multiple-input multiple-output (MIMO) system is proposed …

This paper considers the sum spectral efficiency (SE) optimization problem in multi-cell
Massive MIMO systems with a varying number of active users. This is formulated as a joint …

We consider the cell-free massive multiple-input multiple-output (MIMO) downlink, where a
very large number of distributed multiple-antenna access points (APs) serve many single …

A cell-free massive multiple-input multiple-output (MIMO) uplink is considered, where
quantize-and-forward (QF) refers to the case where both the channel estimates and the …

This paper focuses on the use of a deep learning approach to perform sum-rate-max and
max-min power allocation in the uplink of a cell-free massive MIMO network. In particular, we …